What learning outcomes can be expected?

After completing this Big Data Hadoop Administrator Training, you will be able to:

Understand the fundamentals of Big Data and its characteristics, various scalability options to help organizations manage Big Data.

Master the concepts of the Hadoop framework; its architecture, working of Hadoop distributed file system and deployment of Hadoop cluster using core or vendor-specific distributions.

Learn about cluster management solutions such as Cloudera manager and its capabilities for setup, deploying, maintenance & monitoring of Hadoop Clusters.

Learn Hadoop Administration activities

Learn about computational frameworks for processing Big Data

Learn about Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster

Learn about Cluster planning and tools for data ingestion into Hadoop clusters

Learn about Hadoop components within Hadoop ecosystem like Hive, HBase, Spark, and Kafka

Understand security implementation to secure data and clusters.

Learn about Hadoop cluster monitoring activities

Big Data Hadoop Administrator Training – Course Agenda

Lesson 1: Big Data & Hadoop Introduction

Big Data Hadoop Administrator Training course you will learn about Big Data characteristics need for a framework such as Hadoop & its ecosystem. You will also be introduced to important daemons that support functioning of a Hadoop cluster. Topics covered are:

In this lesson, you will learn about Hadoop Distributed file System, its architecture, working & internals, Hadoop different distributions and about their similarities & differences. Topics covered are:

Gain knowledge on HDFS its internals, working & features

Learn about possibilities without HDFS

Differentiate or find similarities in different distributions of Hadoop.

Identify the requirements to set up a Hadoop cluster

Lesson 3: Hadoop Cluster Setup & Working with Hadoop Cluster

In this lesson, you will learn about steps to setup Apache Hadoop (core distribution) & Cloudera Distribution of Hadoop (vendor specific), cluster management solutions and their benefits and nut & bolts of Cloudera Distribution of Hadoop. You will also learn how to verify your cluster. Topics covered are:

In this lesson, you will learn about configuration files, ports & properties that relate to the functioning of Hadoop cluster. You will also learn about Hadoop daemons logs and how they help in problem scenarios for diagnosing & gathering information. Topics covered are:

List and describe the files that control Hadoop configuration

Explain how to manage Hadoop configuration with Cloudera Manager

Locate configuration files and make changes

Explain how to deal with stale configurations

Explain the properties of addresses and ports of RPC and HTTP servers run by Hadoop Daemons

Locate log files generated on hosts

Filter information in log files

Explain how to get diagnostic information from log files

Lesson 5: Hadoop Cluster Maintenance & Administration

In this lesson, you will learn Hadoop cluster maintenance and administration activities. You will also learn the shortcomings of Hadoop v1 and how they are fulfilled by Hadoop v2 features. Topics covered are:

Explain how to add and remove nodes in an ad-hoc way

Explain how to add and remove nodes in a systematic way, otherwise known as commissioning and decommissioning of nodes

Explain how to balance a cluster

List the steps for managing services including adding, deleting, starting, stopping and checking the status of services

Explain the procedure to enable rack awareness

List the steps to add, remove and move role instances and hosts

Cite the challenges faced with the first version of Hadoop

Explain the features in the second version that help overcome the challenges faced in the first version

Lesson 6: Hadoop Computational Frameworks

In this lesson, you will learn about different types of computational frameworks, MapReduce & YARN concepts & configurations and how YARN manages applications. Topics covered are:

In this lesson you will learn about how to plan your Hadoop cluster, considerations for cluster sizing & workload patterns in Hadoop cluster, making choices pertaining to variables such as hardware, software & different cluster deployment options. Topics covered are:

Planning Hadoop Cluster

General Planning considerations

Workload and cluster sizing

Making Choices—Hardware, Software & Network

Making Choices—Master/Slave considerations

News from the world—Existing Setups

Lesson 9: Hadoop Clients & HUE interface

In this lesson you will learn about Hadoop clients, nodes that support Hadoop clients and web interface such as HUE which can be used to work with Hadoop cluster and its components. Topics covered are:

Explain the concepts of Hadoop client, edge nodes, and gateway nodes

Install and configure Hadoop clients

Explain how Hue works

Install and configure Hue

Describe how authentication and authorization is managed in Hue

Lesson 10: Data Ingestion in Hadoop Cluster

In this lesson you will learn about data ingestion types & tools. You will learn more about tools such as Flume, Sqoop that can be used for data import/export. Topics covered are:

Understand Data Ingestion & its types

Knowing about various data ingestion tools & their capabilities

Understanding how Flume works

Understanding how sqoop works

In this lesson you will learn about open-source components (also known as services in CDH) that work within Hadoop ecosystem such as Hive, Hbase, kafka & Spark. Topics covered are:

List some of the services and open-source components that work within the Hadoop ecosystem

List the advantages and key features of Hive

Describe briefly about the components of Hive

Explain how to configure Hive in different modes

Explain the architecture of HBase and cite the advantages of using HBase

Explain the working of Apache Kafka

Describe the architecture of Apache Spark

Lesson 12: Hadoop Security—Securing Hadoop Cluster

In this lesson you will learn about security aspects and security implementation in a Hadoop cluster to secure data & cluster. Topics covered are:

Describe the different ways to avoid risks and secure data

Identify the different threat categories

Describe the security aspects for different nodes

Describe operating system security

Describe Kerberos and how it works

Describe Service Level Authorization

In this lesson you will learn about basics of cluster monitoring, choosing right monitoring solutions, Hadoop metrics categories & types and Cloudera manager’s features and capabilities that can be used for monitoring your Hadoop cluster. Topics covered are:

Describe cluster monitoring

Describe the ways to choose the right monitoring solutions

List the features and considerations of Cloudera manager for monitoring

Describe the different categories of Hadoop Metrics

List the different types of Hadoop Metrics

List the steps to monitor a cluster by using Cloudera Manager

Why Educera?

Educera’s training is the best and value for time & money invested. We stand out because our customers:

Get trained at the best price compared to other training providers.

Get trained by the best trainer in the industry.

Get access to course specific learning videos.

Get 100% Money back guarantee.

Training Fee:

Early Bird: Booking at least one month prior to the class start date

Training Venue:

Venue will be confirmed to the classroom participants one week prior to the workshop start date and online participants will get the session attendance link before 4- 5 days of the training start date.

Date and Time

Location

Educera, we are one of the leading professional certification training provider. We trained more than 50000+ working professionals. We have 3 training modes which are self-study | Online Live virtual Classroom Training | Classroom Training.

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